{"id":"W3014043586","doi":"10.1158/1078-0432.ccr-19-1627","title":"Generation of Genetically Engineered Mouse Lung Organoid Models for Squamous Cell Lung Cancers Allows for the Study of Combinatorial Immunotherapy","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute","keywords":"CRISPR; Cancer research; Organoid; Biology; Immunotherapy; Immune checkpoint; Genome editing; Cancer; Immunology; Immune system; Gene; Cell biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006200203,0.0008907091,0.000513799,0.0009087874,0.0003221474,0.0006285045,0.0005853059,0.0007913698,0.002436216],"category_scores_gemma":[0.0001973124,0.0003110657,0.0007770542,0.0002886676,0.0005924146,0.0004959948,0.0004399012,0.001549789,0.0009212927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006107841,"about_ca_system_score_gemma":0.0006069671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005301438,"about_ca_topic_score_gemma":0.001241259,"domain_scores_codex":[0.9995638,0.00006569128,0.00004439582,0.0001137877,0.0001572122,0.00005513559],"domain_scores_gemma":[0.9995741,0.00005901678,0.0001510913,0.00007757498,0.00003241893,0.0001057926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005240952,0.0000476616,0.0001938763,0.00005551037,0.00000855605,0.00005839476,0.00001546745,0.0002135672,0.9976368,0.0004628196,0.0000833892,0.001171601],"study_design_scores_gemma":[0.00003092539,0.0003630009,0.0009739787,0.0000159101,0.00003182723,0.0003716006,0.00001818584,0.001281882,0.9911824,0.00009993983,0.005621173,0.000009191269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.767336,0.005417984,0.2113483,0.000853929,0.0004213346,0.0008282391,0.004772232,0.002261418,0.006760674],"genre_scores_gemma":[0.9145151,0.003052655,0.06952517,0.0001678869,0.0000395879,0.0007225084,0.003134732,0.0002585842,0.008583674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002436216,"threshold_uncertainty_score":0.008149981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164828579181202,"score_gpt":0.460285097726176,"score_spread":0.3438022398080559,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}